• Python for Machine Learning

  • Learn How to Use Python for Machine Learning and Data Science
  • By: Rick Loydd
  • Narrated by: Sarah Margrave
  • Length: 4 hrs and 1 min
  • 4.6 out of 5 stars (22 ratings)

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Publisher's Summary

You are about to enter into the new and exciting world of machine learning with Python!

Imagine being able to make software, programs, or applications that don’t require constant input from you or other users to produce a specific output.

Just think of the possibilities you would get with an application or tool that’s capable of self-learning and adjusting what it does based on what it learns about the environment, users, and such. I’m talking of the way platforms like YouTube, Facebook, Netflix, and others are able to learn user behavior and preferences then giving suggestions to users based on their unique preferences...

It would be life changing, right?

I know you are thinking; but isn’t this something that only corporations with big budgets can do?

Absolutely not!

Ordinary people are leveraging the infinite possibilities of python to make cool solutions that leverage the power of machine learning to solve everyday problems!

And you too can do that!

How exactly do you do that?

Simple; this audiobook will teach you the A-Z of using python for machine learning, data analysis, and much more!

The audiobook will serve as a step-by-step tutorial and a reference point for everything relating to machine learning with python, as it is packed with clear explanations in simple language to help you get started with machine learning faster than you may have thought.

In the end, you should be able to build your own machine learning models and applications even if you are a complete beginner!

Here is what the audiobook will teach you:

  • Why you should make it a priority to learn python for data science
  • Why python is better than all the other languages for machine learning
  • How deep learning is different from machine learning and why this should matter to you at this level
  • The key concepts and frameworks you will use in data science, machine learning, and deep learning as well as how to apply them appropriately
  • How to unleash the full power of the most up to date python open source libraries to ace machine learning
  • The best way to create a simple linear and logistic machine learning model
  • How to make the most use of assistance vector devices with machine learning
  • How to smartly develop and train a multi-layer artificial neural network
  • How to unleash the full power of decision trees in machine learning to make optimal decisions
  • The ins and outs of classification algorithms in machine learning to ensure you use the best tool for the job
  • How to leverage the power of regression analysis and sentiment in machine learning to make smart machine learning systems
  • And much more!

If you are serious about learning machine learning with python, this audiobook will set you up for greatness!

Get this audiobook now to get started!

©2019 Rick Loydd (P)2019 Rick Loydd

What listeners say about Python for Machine Learning

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Dont bother

I did not complete as I lost confidence in this audiobook after the first two chapters. If the narration is accurate this was poorly written. There are numerous grammatical errors and sentences that say absolutely nothing or don’t make sense. Additionally, it sounds like the narrator is just text-to-speech (very stiff), is difficult to listen to, and for some reason appears to say the wrong word at times. Don’t bother with this audiobook.

2 people found this helpful

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Horrible, it's not even in English

this was the single most incoherent collection of crap I've ever seen. This must have been written in a foreign language and translated into English by a chimpanzee

sentences like "In this chapter I have understand you machine learning"

and several places it says if you want to lean python go on line there are lots of sites you can learn from

I want my credit back

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Exceptional resource for newcomers & experienced

This is an exceptional resource, both for newcomers to machine learning and experienced practitioners interested in refreshing their knowledge.The concepts are very well explained and its a matter of moving run time from python to scala or java once you know which algorithm needs to be used. Highly recommended

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Great book for Machine learning course.

The book is need for someone who needs a hands on course in ML. This would be a great book for an upper level university class at junior or senior level through graduate. Someone eager and willing to provide the time and effort to work though everything would not have any problems at all with the right preparation.

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Training Artificial Neural Networks

I would not have known where to start in the science of ML without this book and I have been chomping at the bit on a project.Its few trains me thats one is Training Artificial Neural Networks for Image Recognition, Training Artificial Neural Networks for Image Recognition

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Learning Best Practices for Model Evaluation

If you need in-depth knowledge of Machine Learning along with working examples book in Python, this is one of the best.A Tour of Machine Learning Classifiers Using Scikit-Learn.Learning Best Practices for Model Evaluation and Hyper parameter Tuning.

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Listen it for consolidate and to learn new topics.

Great book for starters.It should be on your memory if you want to pursue a career with heavy use of machine learning models done in python.I was looking for something to fill in the gaps, consolidate and to learn new topics. This book does exactly that.I recommend this book for anyone new to machine learning.

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Greatly as it was very pragmatic.

Greatly as it was very pragmatic.A good intro book to Machine Learning overall and definitely worth working through. Great stuff. Can learn step by step python applications for machine learning.Excellent, detailed intro into ML. Examples are simple, but understandable.

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Mathematical detail to keep you intrigued

It is an really good book, practically and theoretically. The best thing about this book is that it presents fairly complex ideas with just enough mathematical detail to keep you intrigued. If you listen it clearly and follow it, you will be surprised.

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Wow! For those of you who want to see the future

This audible book is just awesome for learning. It ably introduces the relevant theory along with how to implement the necessary algorithms in scikit-learn and tensorflow and pointers for more in-depth.

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